Dejun Mu

533 citations
51 papers · 347 · h-index 11

Impact in

Papers in

Dejun Mu

48 papers receiving 324 citations

Peers

Dejun Mu
Comparison fields: 5 of 58
  • Computer Networks and Communications 122
  • Control and Systems Engineering 98
  • Aerospace Engineering 85
  • Artificial Intelligence 105
  • Industrial and Manufacturing Engineering 22
Replace Mohamed-Foued Sriti with:
Mohamed-Foued Sriti Saudi Arabia
Qazwan Abdullah Malaysia
Peilin Zhang China
Yanjie Dong Canada
Shunfan He China
Moad Idrissi United Kingdom
Junhong Xu United States
Jiehong Wu China
Ashish Kumar Shakya India
Kurt Derr United States
Dejun Mu relative to Mohamed-Foued Sriti Saudi Arabia Mohamed-Foued Sriti's profile →
Citations per field
00.5×3.4×
Mohamed-Foued Sriti · 1×
Citations per year

Countries citing papers authored by Dejun Mu

Since Specialization
Citations

This map shows the geographic impact of Dejun Mu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dejun Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Mu more than expected).

Fields of papers citing papers by Dejun Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dejun Mu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dejun Mu. The network helps show where Dejun Mu may publish in the future.

Co-authors

The 25 scholars most cited alongside Dejun Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dejun Mu Line = papers co-authored together Dejun Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 200833
3 201931
4 201428
5 200818
6 202117
7 201616
8 201815
9 201913
10 201813
11 200810
12 20089
13 20109
14 20217
15 20096
16 20086
17 20135
18 20195
19 20114
20 20074

About Dejun Mu

Dejun Mu is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering, having authored 51 papers that have together received 347 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (9 papers), Mobile Ad Hoc Networks (9 papers), Inertial Sensor and Navigation (8 papers), Network Traffic and Congestion Control (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Piezoelectric Actuators and Control (5 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). The work is most often cited by research in Computer Networks and Communications (122 citations), Control and Systems Engineering (98 citations), Aerospace Engineering (85 citations), Artificial Intelligence (105 citations) and Industrial and Manufacturing Engineering (22 citations). Dejun Mu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhaohui Gao, Yongmin Zhong, Chengfan Gu, Zhen Huang, Shesheng Gao, Huafeng Ding, Wei Hu, Tao Yang, Hao Xu and Xiaoyan Cai. Their work appears in journals such as Aerospace Science and Technology, Sensors, Wireless Communications and Mobile Computing, Robotica and Computer Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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